(Nanowerk News) Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of ...

The manufacturing process for personalized T-cell therapies hardly begins before it stalls. Why? Right at the start, there is a severe bottleneck: the need to identify patient-derived, tumor-reactive ...

In this workflow, nanoreactor simulations automatically sample reactive chemical space without relying on human intuition. The nanoreactor is a special class of atomistic simulations in which chemical ...

Making a personalized T cell therapy for cancer patients currently takes at least six months; scientists at the German Cancer Research Center (DKFZ) and the University Medical Center Mannheim have ...

(Nanowerk News) What exactly happens at the tiny scale at which individual atoms exist and interact? SMU chemist Elfi Kraka and her colleagues have been working on developing a computational tool ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Deep learning (DL) is an advanced subset of machine learning (ML), which is behind some of ...

Researchers have used machine learning to create a model that simulates reactive processes in organic materials and conditions. Researchers from Carnegie Mellon University and Los Alamos National ...

A simulation demonstrates the reactions that the ANI-1xnr can produce. ANI-1xnr can simulate reactive processes for organic materials, such as as carbon, using less computing power and time than ...